A strong shortlist candidate when a company needs an established enterprise property-and-economics model with detailed forecasting and repeatable reserves evaluation.
Where Halliburton ARIES fits
ARIES is Halliburton Landmark's petroleum economics and reserves product. The current product page describes an enterprise-wide property and data-management environment that supports production and reserve forecasting, decline-curve analysis, and economic evaluation for operations, engineering, and business teams.
ARIES commonly enters a selection process as more than a calculation engine: the property hierarchy, economic models, forecast cases, access controls, reports, and surrounding integrations can become part of the company's reserves operating system. A fair evaluation therefore needs to measure model fidelity and lifecycle control, not just calculation speed. Teams should load a real hierarchy, reproduce sensitive ownership and fiscal cases, change a governed price deck, and trace the result from input to reported reserves and value.
Best aligned with
Operators, consultants, reserves teams, and corporate planning groups that require detailed property management, forecasting, and petroleum economic evaluation.
Workflow graph
These links describe the decisions and handoffs this product can participate in. They are not a claim that one product owns the entire workflow.
Forecast and value upstream assets
Which wells, projects, or acquisitions create value under a defined operating and price case?
Open graph →Build and govern energy price decks
Which price assumptions are approved, where do they apply, and how does a changed curve alter value or exposure?
Open graph →Data this workflow depends on
BTU Graph's data mapping is editorial analysis. Exact fields, entitlements, connectors, and licensing depend on the proposed product configuration.
Property and ownership records
The enterprise property model defines what is evaluated and how interests and rollups behave.
Production history and forecast assumptions
Decline curves and other forecast methods turn operating history into projected reserves volumes.
Prices, costs, taxes, and timing
Detailed economic assumptions determine project cash flows, limits, and sensitivities.
Classification and reporting rules
Reserves outputs must remain consistent with the organization's governance and disclosure process.
Capabilities confirmed in current vendor material
Integration note
Halliburton describes a SaaS cloud application, structured and open data models, and integration with reserves ERP and financial systems. Public material does not enumerate every supported API or connector, so require architecture and interface documentation for the proposed release.
Boundary and buyer diligence
Do not assume it replaces
- A market-price license
- Production accounting
- Geological interpretation
- Reservoir simulation
Questions to put in the demo
- Which deployment architectures, supported databases, APIs, and batch interfaces apply to the exact ARIES release being proposed?
- How are property, forecast, economic-model, and price-deck changes versioned and promoted through a reserves close?
- Can the vendor-led proof reproduce current calculations and reports without hidden spreadsheet adjustments?
Sources and claim ledger
Capabilities above are paraphrased from the sources below. Product performance, implementation outcomes, and commercial terms have not been independently tested unless explicitly stated.
- 01ARIES petroleum economics and reserves software ↗
ARIES supports enterprise property and data management, production and reserve forecasting, decline curves, petroleum economic evaluation, open data models, and a SaaS cloud application.